Summary
Xiao Yang is a Lead Machine Learning Engineer and Architect based in Mountain View with a decade of experience designing and operating large-scale AI systems across media, finance, and consulting. He has led end-to-end ML initiatives—from roadmap and infrastructure design on AWS SageMaker and S3 to production deployment and model variants that incrementally shift traffic—delivering personalization, churn prediction, and retention models with measurable business impact. Xiao’s background spans building fault-tolerant Hadoop/Spark pipelines for billions of events, deep personalization engines for tens of millions of users, and real-time ML-powered APIs, reflecting strong full-stack ML and data engineering skills. At McKinsey he now applies that product-minded engineering rigor to enterprise AI architecture, while earlier roles show hands-on experience with NLP, XGBoost/LightGBM stacks, and operational monitoring to meet production thresholds. Notably, he combines an MBA and MSIS with nanodegrees in machine and deep learning, blending strategic business insight with practical model-building and deployment expertise.
10 years of coding experience
14 years of employment as a software developer
Master of Business Administration MBA, Master of Business Administration MBA at Questrom School of Business, Boston University
Machine Learning Engineer Nanodegree Machine Learning, Machine Learning Engineer Nanodegree Machine Learning at Udacity
Master of Science in Information System MSIS, Master of Science in Information System MSIS at Boston University
English, Chinese